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PDM - Python Dependency Manager VS Python Package Index

Compare PDM - Python Dependency Manager VS Python Package Index and see what are their differences

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PDM - Python Dependency Manager logo PDM - Python Dependency Manager

PDM, as described, is a modern Python package and dependency manager supporting the latest PEP standards.

Python Package Index logo Python Package Index

A repository of software for the Python programming language
Not present
  • Python Package Index Landing page
    Landing page //
    2023-05-01

PDM - Python Dependency Manager features and specs

No features have been listed yet.

Python Package Index features and specs

  • Extensive Library Collection
    PyPI hosts a comprehensive collection of Python libraries and packages, enabling developers to find tools and modules for almost any task, from data analysis to web development.
  • Ease of Use
    The PyPI interface is user-friendly, and installation of packages can be quickly done using pip, Python's package installer. This makes it easy for both beginners and advanced users to manage dependencies.
  • Community Support
    Many PyPI packages are well-documented and supported by a large community of developers, which provides reassurance and assistance through forums, tutorials, and user contributions.
  • Regular Updates
    Packages on PyPI are frequently updated by maintainers to include new features, improvements, and security patches, ensuring that developers have access to the latest and most secure versions.
  • Open Source
    PyPI primarily hosts open-source packages, promoting transparency, collaboration, and the ability to modify packages to better suit individual needs.

Possible disadvantages of Python Package Index

  • Quality Assurance
    Not all packages on PyPI are of high quality or well-maintained. Some may have bugs, lack proper documentation, or not adhere to best practices, requiring users to vet packages carefully.
  • Security Risks
    There is a risk of downloading malicious packages since PyPI allows anyone to upload packages. Users need to be cautious and verify the credibility of the package authors and sources.
  • Dependency Management
    Managing dependencies can become complex, especially for large projects, as conflicts between package versions can arise, leading to potential runtime issues.
  • Overhead
    For smaller projects or those with specific needs, the sheer number of available packages can be overwhelming, making it difficult to find the most suitable one without investing a significant amount of time.
  • Legacy Packages
    Some packages on PyPI may no longer be maintained or updated, which can represent a risk if they become incompatible with newer versions of Python or other dependencies.

PDM - Python Dependency Manager videos

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Python Package Index videos

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Python Django - Create and deploy packages to PyPI - Python Package Index

More videos:

  • Review - PIP and the Python Package Index - Open Source Language, Package Installer, Programming Python

Category Popularity

0-100% (relative to PDM - Python Dependency Manager and Python Package Index)

PDM - Python Dependency Manager

Python Package Index

Package Manager
28 28%
Package Manager
72% 72
Translation Service
0 0%
Translation Service
100% 100
Front End Package Manager
21 21%
Front End Package Manager
79% 79
Kids
100 100%
Kids
0% 0

User comments

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Social recommendations and mentions

Based on our record, Python Package Index seems to be a lot more popular than PDM - Python Dependency Manager. While we know about 83 links to Python Package Index, we've tracked only 1 mention of PDM - Python Dependency Manager. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PDM - Python Dependency Manager mentions (1)

  • Publishing a LitePolis package to PyPI using Github Actions
    The pyproject.toml serves as a central place for your project's configuration. It tells the build frontend tool which backend is needed to build your package. Some available options include Hatchling, Setuptools, Flit, or PDM. Below is an example of a common build backend. - Source: dev.to / 19 days ago

Python Package Index mentions (83)

  • Solving SSL Certificate Verification Issues with pip on macOS
    # Check if Python can connect to pypi.org Python -c "import urllib.request; urllib.request.urlopen('https://pypi.org')" # Test where Python is looking for certificates Python -c "import ssl; print(ssl.get_default_verify_paths())" # Check pip configuration Pip config debug. - Source: dev.to / about 1 month ago
  • What I wish I knew about Python when I started
    But let me back up and start from the perspective of a total Python beginner, as that is who this post is intended for. In Python, there are a lot of built-in libraries available to you via the Python Standard Library. This includes packages like datetime which allows you to manipulate dates and times, or like smtplib which allows you to send emails, or like argparse which helps aid development of command line... - Source: dev.to / about 2 months ago
  • Python Project Setup With uv – Virtual Environments and Package Management
    Virtual Environments are isolated Python environments that have their own site-packages. Basically, it means that each virtual environment has its own set of dependencies to third-party packages usually installed from PyPI. - Source: dev.to / 3 months ago
  • Getting Started With Pipenv
    Where can I find packages available for me to use in my project? At https://pypi.org/ of course! - Source: dev.to / 3 months ago
  • Create a python package and publish.
    To upload your package to PyPI, you need to create an account on PyPI. - Source: dev.to / 4 months ago
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What are some alternatives?

When comparing PDM - Python Dependency Manager and Python Package Index, you can also consider the following products

pip - The PyPA recommended tool for installing Python packages.

Anaconda - Anaconda is the leading open data science platform powered by Python.

Conda - Binary package manager with support for environments.

Python Poetry - Python packaging and dependency manager.

Lobe - Visual tool for building custom deep learning models

pipx - pipx is a tool to help you install and run end-user applications written in Python. It's roughly similar to macOS's brew, JavaScript's npx, and Linux's apt.

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